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Strong MetLife brand and Pune metro location increase competition, but niche LLM/Azure skillset limits candidate pool.
Strong emphasis on enterprise AI, Azure OpenAI, and platform deployment creates moderate cross-industry transferability.
Explicit 10–12 years plus mandatory LLMs, Azure AI, MLOps, .NET/Python, and production deployment increases strictness.
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Design and implement scalable, production-grade AI/ML use cases using an enterprise AI platform, adhering to architectural standards.
Collaborate with product, architecture, and business teams to translate requirements into AI solutions while ensuring platform adoption and providing feedback for platform improvements.
Provide technical leadership and mentorship to junior engineers, promoting best engineering practices and responsible AI compliance across deployed solutions.
10–12 years of hands-on experience in AI Engineering.
Strong software engineering skills in .NET Core / C# and Python.
Applied experience with LLMs, Azure OpenAI, RAG architecture, Azure AI services, cloud-native development, microservices, REST APIs, and scalable system design.
Bachelor's degree in Computer Science, Engineering, Finance/Accounts, or related discipline.
Experienced in designing and deploying production AI solutions with strong focus on scalability, quality, observability, and responsible AI.
Proficient at collaborating across product, architecture, and business teams, with a strategic view towards AI platform evolution and MLOps.
Skilled in mentoring and providing technical leadership within engineering teams, ensuring adherence to engineering best practices and continuous platform enhancement.